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61 public repositories
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An open source library for deep learning end-to-end dialog systems and chatbots.
Updated
Jul 9, 2020
Python
building a chinese dialogue system based on the newest version of rasa(基于最新版本rasa搭建的对话系统)
Updated
Jun 21, 2020
Python
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
Updated
Jun 18, 2020
Python
Intent recognition with OpenNLP
Updated
Jun 24, 2018
Java
State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.
Updated
May 5, 2020
Jupyter Notebook
A neural network intent parser
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May 25, 2020
Python
CNN for intent classification task in a Chatbot
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Oct 22, 2019
Jupyter Notebook
Updated
Aug 24, 2018
Python
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
Updated
May 11, 2020
Python
Labelling Sequential Data in Natural Language Processing with R - using CRFsuite
Natural language understanding library for chatbots with intent recognition and entity extraction.
Updated
Dec 29, 2019
Python
Updated
Oct 25, 2018
Jupyter Notebook
Chinese Medical Intent Dataset
Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
Updated
Aug 9, 2019
Jupyter Notebook
reference pytorch code for intent classification
Updated
Jul 9, 2020
Python
An Open Toolkit for Universal Extraction from Text
Updated
Jul 1, 2020
Python
Annabelle the noob. An experimental, incomplete(at present) chatbot.
Updated
Dec 11, 2018
Python
Using Tensorflow to train a slot-filling & intent joint model
Updated
Feb 9, 2018
Python
Java tools to do natural language processing like NER and intent classification on short sentences
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Aug 12, 2018
Java
The Ovation Framework for Conversational Intelligence
Updated
Mar 30, 2020
Python
Towards an Understanding of Entity-Oriented Search Intents - ECIR'18
Intent classification using a variety of deep learning models
Updated
Aug 9, 2018
Jupyter Notebook
reflect's backend - determine intent validity
Updated
Apr 30, 2020
Python
A chat bot designed to answer FAQs of a specific subject using Rasa-NLU (Natural Language API)
Updated
Jul 13, 2018
Jupyter Notebook
基于 rasa 1.x 版本搭建的英文天气查询 demo | A simple & micro English Weatherbot based on rasa framework
Updated
Aug 15, 2019
Python
Intent classification and entity extraction with natural language understanding using RASA-NLU.
Updated
Jun 14, 2018
Jupyter Notebook
An Open-Source Package for Universal Extraction (UE)
Updated
Apr 30, 2020
Python
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I have some values in slots that are surrounded by curly braces and are meant to be returned as is. Instead, the trailing brace is being stripped. "${website}" becomes "${website". I have training examples where the whole "${website}" is included. Is there a way to change this behavior?